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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 22788
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    Explanations

    complex sequences of special characters and letters likely with a specific language-based pattern

    oai_token-act-pair · gpt-3.5-turbo

    specific numeric values or sequences possibly related to measurements or ratings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nesota
    -1.15
    apy
    -0.91
    isters
    -0.89
    icro
    -0.86
    ept
    -0.81
    ister
    -0.79
    oan
    -0.78
    llular
    -0.77
    utical
    -0.76
    ade
    -0.74
    POSITIVE LOGITS
    ãĥ¼ãĥ
    0.70
    tin
    0.67
    POSE
    0.67
    rier
    0.66
    headed
    0.65
    Ñĭ
    0.65
    posed
    0.63
     vig
    0.63
    ground
    0.63
    cv
    0.63
    Activations Density 0.040%

    No Known Activations